Babak Ravandi (@babakravandi) 's Twitter Profile
Babak Ravandi

@babakravandi

Innovation happens at the intersection of disciplines. #BarabasiLab @Northeastern & Purdue alumni.

ID: 450742208

linkhttp://ravandi.tech calendar_today30-12-2011 16:13:29

154 Tweet

239 Followers

309 Following

Albert-LĂĄszlĂł BarabĂĄsi (@barabasi) 's Twitter Profile Photo

Excited to share our new paper, ‘Accelerating network layouts using graph neural networks’ just out in Nature Communications with Csaba Both, Nima Dehmamy, and Rose Yu: rdcu.be/c77wd NeuLay is a machine-learning framework to speed up network visualization. See thread:

Excited to share our new paper, ‘Accelerating network layouts using graph neural networks’ just out in <a href="/NatureComms/">Nature Communications</a> with <a href="/csabath95/">Csaba Both</a>, <a href="/nimatabari/">Nima Dehmamy</a>, and <a href="/yuqirose/">Rose Yu</a>: rdcu.be/c77wd
NeuLay is a machine-learning framework to speed up network visualization. 
See thread:
Albert-LĂĄszlĂł BarabĂĄsi (@barabasi) 's Twitter Profile Photo

Excited to share our latest work, "Improving generalizability of protein-ligand binding predictions with AI-Bind," just out in Nature Communications rdcu.be/c9run. PDF at barabasilab.com/science/public
 đŸ§”. #AI #MachineLearning #TargetPrediction #Bioinformatics #NetSci

Excited to share our latest work, "Improving generalizability of protein-ligand binding predictions with AI-Bind," just out in <a href="/NatureComms/">Nature Communications</a>  rdcu.be/c9run.  PDF at barabasilab.com/science/public

đŸ§”. #AI #MachineLearning #TargetPrediction #Bioinformatics #NetSci
BarzelLab (@baruchbarzel) 's Twitter Profile Photo

Its out in the open! Our paper is born 🐣 Nature Physics Emergent stability in complex network dynamics nature.com/articles/s4156
 A thread with more details will come soon. Meanwhile hit the link 👆

Its out in the open!
Our paper is born 🐣 <a href="/NaturePhysics/">Nature Physics</a> 

Emergent stability in complex network dynamics
nature.com/articles/s4156


A thread with more details will come soon. Meanwhile hit the link 👆
Ricard Solé (@ricard_sole) 's Twitter Profile Photo

What is the "right" level of detail required to model and understand a complex system? We know that, on different scales, details on lower levels are often unnecessary. Why? Gene networks are a perfect illustration. Check this comment by S. Bonhordlt library.wur.nl/WebQuery/file/


What is the "right" level of detail required to model and understand a complex system? We know that, on different scales, details on lower levels are often unnecessary. Why? Gene networks are a perfect illustration. Check this comment by S. Bonhordlt library.wur.nl/WebQuery/file/

Albert-LĂĄszlĂł BarabĂĄsi (@barabasi) 's Twitter Profile Photo

New Paper in Nature Communications: Assessing how processed is your food. "Machine learning prediction of the degree of food processing" Available at barabasilab.com/science/public
 and rdcu.be/davWY With Giulia Menichetti Babak Ravandi Dariush Mozaffarian #FoodProcessing

New Paper in <a href="/NatureComms/">Nature Communications</a>: Assessing how processed is your food.
"Machine learning prediction of the degree of food processing"  
Available at barabasilab.com/science/public
 and rdcu.be/davWY 
With <a href="/menicgiulia/">Giulia Menichetti</a> <a href="/BabakRavandi/">Babak Ravandi</a> <a href="/Dmozaffarian/">Dariush Mozaffarian</a>
#FoodProcessing
Petter Holme (@pholme) 's Twitter Profile Photo

I updated my list of firsts in network science with the first application of information theory to measure the level of organization in networks (Nicolas Rashevsky, 1955) petterhol.me/2019/04/15/fir


Ricard Solé (@ricard_sole) 's Twitter Profile Photo

Is science becoming less disruptive in the last decades? Such a claim was made and received much attention, but Alex Bentley Sergi Valverde🌍(under a blue sky) et al. did the math, and the result is the opposite: disruption is there and keeps growing arxiv.org/abs/2306.14364 Blai Vidiella Salva Duran-Nebreda

Is science becoming less disruptive in the last decades? Such a claim was made and received much attention, but <a href="/ralexbentley/">Alex Bentley</a>  <a href="/svalver/">Sergi Valverde🌍(under a blue sky)</a> et al. did the math, and the result is the opposite: disruption is there and keeps growing arxiv.org/abs/2306.14364 <a href="/BlaiVidiella/">Blai Vidiella</a> <a href="/SDuranNebreda/">Salva Duran-Nebreda</a>
Sam Sinai (@samsinai) 's Twitter Profile Photo

đŸ§”Excited to share that we Dyno Therapeutics, Inc. have launched our 2nd product Dyno eCap 1, a generative AI designed protein validated extensively in nonhuman primates, as a breakthrough capsid with potential to solve the delivery challenge for variety of eye diseases. products.dynotx.com/ecap1/

Marinka Zitnik (@marinkazitnik) 's Twitter Profile Photo

🚹 JOB ALERT 🚹 We are building the next generation of Therapeutics Commons Therapeutics Data Commons! Our vision is to lay the foundations for AI & therapeutics, eventually enabling AI to learn on its own and acquire knowledge through continual refinement We are seeking postdoctoral

🚹 JOB ALERT 🚹

We are building the next generation of Therapeutics Commons <a href="/ProjectTDC/">Therapeutics Data Commons</a>!

Our vision is to lay the foundations for AI &amp; therapeutics, eventually enabling AI to learn on its own and acquire knowledge through continual refinement

We are seeking postdoctoral
Safa Jamali (@safajamali) 's Twitter Profile Photo

Exciting start to 2024 with a few papers. Paper #2: inspired by seminal work of Alessio Zaccone đŸ‡ș🇩 and Emanuela Del Gado on origin of elasticity in colloidal gels, and in collaboration with Lilian Hsiao, Max Bi, Babak Ravandi and others, led by Mohamad Nabizadeh đŸ‘‡đŸŒ pnas.org/doi/10.1073/pn


C. Brandon Ogbunu (@big_data_kane) 's Twitter Profile Photo

'The Misplaced Incentives in Academic Publishing' "Many of the largest, under-appreciated sins of publishing do not arise from the journals themselves, but from the professional ecosystem that defines modern academia." New for Undark Magazine: undark.org/2024/07/04/opi


Albert-LĂĄszlĂł BarabĂĄsi (@barabasi) 's Twitter Profile Photo

Nature Food: Our paper revealing the degree of food processing in 50K+ items sold by Walmart, Target & Whole Foods is just out! 🍎📊 PDF at barabasi.com/science/public
 See the data in action at truefood.tech Thank Giulia Menichetti, Babak Ravandi et al.

Nature Food: Our paper revealing the degree of food processing in 50K+ items sold by Walmart, Target &amp; Whole Foods is just out! 🍎📊
PDF at barabasi.com/science/public

See the data in action at truefood.tech
Thank <a href="/menicgiulia/">Giulia Menichetti</a>, <a href="/BabakRavandi/">Babak Ravandi</a>  et al.
CZI Science (@cziscience) 's Twitter Profile Photo

“The Billion Cells Project will help clarify our understanding of the fundamental biology underpinning human health + disease while supercharging efforts at the intersection of AI & biology.” - Jonah Cool Learn more about the project czi.co/4hBZ5kM

“The Billion Cells Project will help clarify our understanding of the fundamental biology underpinning human health + disease while supercharging efforts at the intersection of AI &amp; biology.” - <a href="/JCoolScience/">Jonah Cool</a>

Learn more about the project czi.co/4hBZ5kM
Albert-LĂĄszlĂł BarabĂĄsi (@barabasi) 's Twitter Profile Photo

Honored to give the Keynote at Sunbelt 2024 in Edinburgh—my first Sunbelt! đŸŒđŸŽ€ đŸ“ș Watch "Network Science: From Structure to Network Resilience" here: 🔗 youtube.com/watch?v=W-cv4f
 #NetSci #Sunbelt2024 #NetworkScience

Babak Ravandi (@babakravandi) 's Twitter Profile Photo

I am searching for an intern for Summer 2025 with a focus on #RareDisease and #GraphML. Spread the word as the position deadline is March 13! astrazeneca.wd3.myworkdayjobs.com/Alexion/job/US
 #AstraZeneca #Alexion #GraphML #AI #Internship #Research #MachineLearning #RareDiseaseDay

Sam Rodriques (@sgrodriques) 's Twitter Profile Photo

Today, we are launching the first publicly available AI Scientist, via the FutureHouse Platform. Our AI Scientist agents can perform a wide variety of scientific tasks better than humans. By chaining them together, we've already started to discover new biology really fast. With